Statistical Analysis of Gaussian Filter of SAR Dataset of Radarsat-2 Satellite for Speckle Noise Reduction

EasyChair Preprint no. 2585

Abstract

Reduction of speckle noise is one of the most important processes to increase the quality of SAR dataset. Image filtering is very important field in SAR imaging. Image variances or speckle noise that inherently exists in and degrades the quality of the active radar and SAR images. Microwave radiation back scatted the earth surface, generates a multiplicative speckle noise that corrupts SAR images. Gaussian filtering widely used for reduction of the speckle noises present in SAR datasets. The results have been presented by filtered images, statistical tables and diagrams. Keywords: Synthetic Aperture Radar (SAR), speckle noise, Gaussian filter.

Keyphrases: Gaussian filter, Polarimetric SAR (Pol-SAR), Speckle noise, Synthetic Aperture Radar (SAR)

@Booklet{EasyChair:2585,
  author = {Pornima Jagtap and Shafiyoddin Sayyed},
  title = {Statistical Analysis of Gaussian Filter of SAR Dataset of Radarsat-2 Satellite for Speckle Noise Reduction},
  howpublished = {EasyChair Preprint no. 2585},

  year = {EasyChair, 2020}}